Montreal, QC (Hybrid, 2–3 days onsite per week)LanguageEnglish, advanced written and verbal communication required. French is considered an asset.Duration12-Month ContractAbout the OpportunityWe are seeking an experienced Machine Learning Developer to join a leading organization focused on leveraging advanced technology and data-driven insights to solve complex business challenges. This opportunity is ideal for someone who enjoys building intelligent systems from the ground up and delivering machine learning solutions that create measurable impact across a large-scale digital ecosystem.Working alongside data engineers, software developers, product leaders, and business stakeholders, you will transform real-world data into scalable production‐ready solutions. This role combines machine learning, MLOps, and software engineering, offering the opportunity to influence both technical direction and business outcomes.What's In It for YouExposure to complex, enterprise‐scale machine learning initiativesOpportunities to work with modern ML frameworks, cloud technologies, and emerging AI solutionsA collaborative environment that values innovation, continuous learning, and knowledge sharingMeaningful work that directly supports business‐critical decision makingFlexibility through a hybrid work model and a team‐oriented cultureYour ResponsibilitiesYou'll design, develop, deploy,



and maintain end-to-end machine learning solutions from data ingestion through production monitoringYou'll build, train, evaluate, and optimize machine learning models using contemporary frameworks and best practicesYou'll develop scalable data pipelines and feature engineering processes to support reliable model performanceYou'll implement MLOps practices including CI/CD pipelines, containerization, deployment automation, and monitoringYou'll identify and mitigate risks related to model drift, data quality, overfitting, and data leakageYou'll collaborate with cross‐functional teams to translate business requirements into practical ML solutionsSkills and Qualifications5+ years of experience designing and implementing end-to-end machine learning solutions in production environmentsStrong expertise in Python, Git, and machine learning libraries such as PyTorch, TensorFlow, or Hugging FaceProven experience with model development, training, validation, optimization, and evaluation methodologiesHands‐on experience with cloud platforms such as AWS, Azure, or GCPStrong knowledge of MLOps practices including Docker, CI/CD, deployment, monitoring, and automated retrainingExperience working with Snowflake or similar cloud‐based data platforms and complex real‐world datasetsExcellent communication, problem‐solving, and stakeholder collaboration skills #J-18808-Ljbffr

📌 Machine Learning Engineer (Montreal)
🏢 Altis Technology
📍 Montreal